In the competitive and growing oil and gas industry, efficiency plays a crucial role. Activities and its associated resources must be efficiently scheduled in order to maintain satisfactory production, reducing operational costs. However, this is still a critical and difficult task. The present paper presents a decision support system including a mathematical programming model designed to facilitate and automatize activities' resources scheduling. The model estimates the optimal size of a homogeneous resources fleet for a set of activities and generates schedules for each activity and its resources. A successful application of this model is shown by a case study of activities executed by oil rigs over 200 wells and over 10 years of time horizon. With oil rigs sizing and scheduling results currently implemented in the company, this case study deals with investments in the order of billions of dollars.
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